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PAMI
2008
189views more  PAMI 2008»
13 years 10 months ago
Detecting Objects of Variable Shape Structure With Hidden State Shape Models
This paper proposes a method for detecting object classes that exhibit variable shape structure in heavily cluttered images. The term "variable shape structure" is used t...
Jingbin Wang, Vassilis Athitsos, Stan Sclaroff, Ma...
ICIP
2007
IEEE
15 years 3 days ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
TMM
2008
167views more  TMM 2008»
13 years 10 months ago
Mining Appearance Models Directly From Compressed Video
In this paper, we propose an approach to learning appearance models of moving objects directly from compressed video. The appearance of a moving object changes dynamically in vide...
Datong Chen, Qiang Liu, Mingui Sun, Jie Yang
ICIP
2005
IEEE
15 years 2 days ago
A weight-adaptive dynamic model for shape segmentation
Physically based dynamic models are able to describe variable shapes without prior training. Their behaviour to find an object is intuitive, which facilitates corrections of false...
Klaus D. Tönnies, Peter Benedix
CW
2004
IEEE
14 years 2 months ago
Analytically-Defined Collaborative Shape Modeling in VRML
In this paper we introduce a function-defined extension of Virtual Reality Modeling Language where analytical formulas are used for defining geometry and appearance of 3D shapes. ...
Qi Liu, Alexei Sourin